Ebury★3.3 (13)· London

Senior Software Engineer (Money Flows) at Ebury (London, hybrid) will work with Python, Django, FastAPI, PostgreSQL, Kafka, AWS, Kubernetes, Terraform, Jenkins, Prometheus, and Kibana. The role owns development, scalability and optimisation of the company’s multi-currency account systems, incoming funds, and outgoing payment processes on its core transactional platform. This is a global team spanning Europe and South America.

Addepar★3.3 (7)· London

This role involves working with Addepar’s data, AI, and vertically integrated platform, including AI-driven workflows, data lakehouses, and third-party integrations. The Senior Enterprise Sales Engineer leads technical engagements with C-suite executives, driving the technical side of the sales cycle by demonstrating how Addepar’s platform modernizes complex financial legacy operations into AI-driven ecosystems.

Senior Platform Engineer role working with Azure, Kubernetes (AKS), Terraform, GitHub/GitHub Actions, ArgoCD, Docker, Bash/Shell, and Python. You will design, build, and operate central platform services for the Retail Platform Operations team, enabling development teams with self-service infrastructure and CI/CD automation at Legal & General.

You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.

Citi★3.9 (21k)· London

You will work with C++, C#, .NET, Java, Python, kdb, and SQL to develop analytics libraries and pricing models using Monte Carlo methods and PDE solvers. The role focuses on creating quantitative models for Citi’s cross-asset XVA and capital analytics, supporting trading business pricing and risk-management. You will collaborate with Traders, Structurers, and technology professionals.

Work with Java and/or Python to support the design, development, and maintenance of scalable applications. You will join the front-office engineering team of a fintech firm to help deliver high-impact, revenue-facing systems used by traders and product teams.

You will work with PHP, MySQL, HTML5, CSS, JavaScript, jQuery, React, Next.js, Laravel/Symfony, DevOps/CI/CD tools (Jenkins, Bamboo), Docker, and AWS. The team creates experiences through data and media management and data analytics engines, working on complex development for both industry-leading companies and startups.

Bloomberg★3.8 (1.1k)· London

You will work with Go and C++ on Vitess, MySQL, MyRocks, and RocksDB, alongside Python for automation and analysis. Your team builds Bloomberg’s distributed OLTP storage platform, operating over 10,000 MySQL shards to serve critical financial data with low latency.

Develop React applications using TypeScript and Node.js, running on Azure AKS with Azure PostgreSQL. Work with Terraform and Harness CI/CD pipelines, integrate RESTful APIs, and create end-to-end automation tests with tools like Selenium or Playwright.

JPMorgan★3.9 (20k)· London

Work with KDB, Q, AWS, and optionally Terraform, Kubernetes, Python, C, C++, or Java. Develop and maintain applications storing large Options data sets for real-time and historical access within JPMorgan’s Equities Trading Data & Analytics team, migrating to AWS and re-architecting systems.

Wise★3.5 (42)· London

You will work with Java, Spring Boot, AWS, Apache Kafka, and potentially Trino. The Pricing Core team builds and maintains the main pricing platform that enables Wise to price its products, processing over 100 million requests daily across critical paths.

DeepL★3.8 (4)· London

You’ll work with C#/.NET Core, Cassandra, gRPC, Kubernetes, and AI-assisted tools like Copilot and Claude. You’ll join the Identity and Access Management team, which owns DeepL’s full identity stack—organization, group, account, consent, session management, SSO federation, SCIM provisioning, and the OIDC provider.

You will work with PyTorch, TensorFlow, deep learning models, recommendation and retrieval systems, and MLOps practices on cloud infrastructure. Joining ASOS’s Outfits Discovery team, you will build and operate large-scale production ML systems that power personalised outfit recommendations and AI-driven fashion discovery for millions of customers.

You will use deep learning frameworks, distributed computing technologies, GPU-based training environments, and MLOps practices to build and deploy batch and real-time recommendation, ranking, and personalisation models. This role is within ASOS's Search & Recommendations team, which builds the machine learning systems that help millions of customers discover products daily.

Design and build scalable data pipelines using Python, Scala, Spark, PySpark, Azure Data Factory, Databricks, and Delta Lake. You’ll develop reusable platform components and templates that enable data scientists and engineers across product teams (Forecasting, Recommendations, Marketing, etc.) to deliver high-quality, production-ready data solutions.

You will work with Svelte, TypeScript, Python (FastAPI/Django), PostgreSQL, and AWS. Tab is a YC-backed London startup building a high-scale payments and discovery platform for independent tourism businesses. You will be one of the first developers on a lean, profitable team of nine.

Work with .NET, TypeScript, React, AWS, and CI/CD pipelines. Lead a small engineering team for a UK tech consultancy, owning technical delivery and architecture on client projects. Act as the technical face of projects from day one.

You'll build core AI systems with FastAPI, TypeScript, React, LLMs, and voice interfaces, plus own infrastructure, observability, and evaluation frameworks. Fleetcraft is a London aerospace startup creating AI infrastructure for aircraft maintenance and manufacturing, with you shaping the technical roadmap end-to-end.

You will work with C#, Python, TypeScript, JavaScript, React Native, AWS or Azure, and various databases (relational, graph, document, key-value) plus SQL. The role supports critical projects aligned with Net Zero ambitions.

You will work with Java, Spring Boot, microservices, REST APIs, AWS, DevOps and CI/CD pipelines. You’ll lead client projects for a global technology consultancy, mainly in financial services, focusing on migrating legacy systems to AWS and introducing cloud deployments. As Principal Java Developer, you will lead projects, but team size isn’t specified.

Build UI components using Vue.js, React, or Angular, plus JavaScript, HTML/CSS, and Figma. You'll join TransPerfect TechOps, which develops workflow improvements, core services for the GlobalLink platform, and scalable client interfaces. Work within an Agile (SCRUM/Kanban) team.

Use Vue.js/Nuxt.js, Node.js, TypeScript, MySQL, Docker, and AWS with AI-assisted tools like Claude. You will build and ship end-to-end features for &Dine’s online food marketplace connecting independent Makers and customers. Join a high-impact engineering team of four.

Global Payments★3.3 (3k)· London

The role involves managing a Bug Bounty Program using CVSS for vulnerability assessment, and working with tools like ServiceNow or JIRA. You will coordinate remediation with whitehat researchers and stakeholders within Global Payments’ Security Operations, supporting the company’s payment technology and software solutions.

Barings★3.8 (43)· London

This Senior Associate role on the Quantitative & Risk Analytics team uses Python, SQL, Excel, and PowerBI to build and maintain quantitative ESG overlays for Barings’ public and private portfolios. You will produce ESG analytics and reporting, develop portfolio overlay strategies for decarbonization mandates, and partner with data vendors and internal teams to improve data quality.

NatWest Group★3.7 (1.2k)· London

Leading a team building cloud-hosted, event-driven microservices at NatWest Boxed, you will manage software and quality engineers across empowered squads while working with AWS, Google Cloud Platform, Java, Python, JavaScript, ReactJS, AngularJS, Kafka, Hadoop, PostgreSQL, Snowflake, and GitLab.